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LlamaIndex
SWE Arena Rank #208

LlamaIndex

run-llama/llama_index · Author: @run-llama
Arena ELO
1325
±18
Total Stars
52.4k
+32.7% w/w
Monthly Traffic
4.1M/mo
4.8x vs median
Search Demand
450,000/mo
+110% YoY

12-Month Adoption & Star Velocity +32.7% w/w

Empirical star trajectory for LlamaIndex vs Category Median benchmark. Hover along points to inspect exact monthly stats.

LlamaIndex Category Median
52k 28k 4k NovDecJanFebMarAprMayJunJulAugSepOct Nov · 4.9k vs 4.4k med This Skill: 4.9k +514 vs Median Dec · 6.1k vs 5.0k med This Skill: 6.1k +1.1k vs Median Jan · 7.6k vs 5.7k med This Skill: 7.6k +1.9k vs Median Feb · 9.4k vs 6.5k med This Skill: 9.4k +2.9k vs Median Mar · 11.6k vs 7.3k med This Skill: 11.6k +4.3k vs Median Apr · 14.4k vs 8.4k med This Skill: 14.4k +6.1k vs Median May · 17.9k vs 9.5k med This Skill: 17.9k +8.4k vs Median Jun · 22.2k vs 10.8k med This Skill: 22.2k +11.4k vs Median Jul · 27.5k vs 12.3k med This Skill: 27.5k +15.2k vs Median Aug · 34.1k vs 13.9k med This Skill: 34.1k +20.2k vs Median Sep · 42.3k vs 15.8k med This Skill: 42.3k +26.4k vs Median Oct · 52.4k vs 18.0k med This Skill: 52.4k +34.4k vs Median
GROWTH VELOCITY
+32.7%
1.5x vs category median
ARENA ELO SCORE
1325
+133 vs category median
WEB VISITS MOMENTUM
4.1M/mo
4.8x category median
LATENCY EFFICIENCY
30ms
1.3x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, LlamaIndex holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +32.7% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose LlamaIndex

Data framework for building LLM applications over external enterprise data through ingestion, indexing, and querying.

Verified Real-World Production Workflow

Primary Implementation:

Connect private documents, relational databases, and APIs into agentic query engines and multi-document synthesis workflows.

Engine Stack & Dependencies:

Python / TypeScript, Vector store abstraction, Document loaders, Evaluation framework.

Target Persona & Role Fit

RAG & Data Engineers

Engineered and benchmarked specifically for RAG & Data Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/run-llama/llama_index

Technical Specification (ASD-STE100)

Data framework for building LLM applications over external enterprise data through ingestion, indexing, and querying.
Architecture: Python / TypeScript, Vector store abstraction, Document loaders, Evaluation framework.

Domain Tags & Keywords

#rag#data-framework#vector-index#enterprise-search

Compute Efficiency Profile

P95 EXECUTION LATENCY
30ms
1.3x faster than median
TOKEN EFFICIENCY SAVINGS
-85%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
87%
Arena paired matches
Monthly Documentation & Site Visits
4.1M/mo
Measured via Traffic Research bypass engine (4.8x category median)
Google Search Keyword Demand
450,000/mo
+110% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

LlamaIndex Median
4.1M 2.4M 680k MayJunJulAugSepOct May · 1.49M vs 680.0k med This Skill: 1.49M +806.3k vs Median Jun · 2.01M vs 714.0k med This Skill: 2.01M +1.29M vs Median Jul · 2.53M vs 748.0k med This Skill: 2.53M +1.78M vs Median Aug · 3.05M vs 782.0k med This Skill: 3.05M +2.27M vs Median Sep · 3.58M vs 816.0k med This Skill: 3.58M +2.76M vs Median Oct · 4.10M vs 850.0k med This Skill: 4.10M +3.25M vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1325
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +108 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +114 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +128 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +139 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +138 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +127 vs Median
WIN RATE
87%
Head-to-head
WEEKLY SURGE
+32.7%
Adoption velocity
P95 LATENCY
30ms
Execution speed
TOKEN OVERHEAD
-85%
Context saved

Head-to-Head Comparison — LlamaIndex vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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